Cited by 824Mobile Learning in EducationDigital literacy in educationTechnology-Enhanced Education Studies

The DOI matches its Crossref record; 95 of the 100 references it cites were found in a registry or an index; 30 of the 172 sources its claims cite were checked for support.

Impacts of digital technologies on education and factors influencing schools' digital capacity and transformation: A literature review

Open access
Timotheou, Stella, Miliou, Ourania, Dimitriadis, Yiannis, Sobrino, Sara Villagrá, Giannoutsou, Nikoleta, Cachia, Romina, Monés, Alejandra Martínez, Ioannou, Andri·2023·Education and Information Technologies

Abstract

Digital technologies have brought changes to the nature and scope of education and led education systems worldwide to adopt strategies and policies for ICT integration. The latter brought about issues regarding the quality of teaching and learning with ICTs, especially concerning the understanding, adaptation, and design of the education systems in accordance with current technological trends. These issues were emphasized during the recent COVID-19 pandemic that accelerated the use of digital technologies in education, generating questions regarding digitalization in schools. Specifically, many schools demonstrated a lack of experience and low digital capacity, which resulted in widening gaps, inequalities, and learning losses. Such results have engendered the need for schools to learn and build upon the experience to enhance their digital capacity and preparedness, increase their digitalization levels, and achieve a successful digital transformation. Given that the integration of digital technologies is a complex and continuous process that impacts different actors within the school ecosystem, there is a need to show how these impacts are interconnected and identify the factors that can encourage an effective and efficient change in the school environments. For this purpose, we conducted a non-systematic literature review. The results of the literature review were organized thematically based on the evidence presented about the impact of digital technology on education and the factors that affect the schools’ digital capacity and digital transformation. The findings suggest that ICT integration in schools impacts more than just students’ performance; it affects several other school-related aspects and stakeholders, too. Furthermore, various factors affect the impact of digital technologies on education. These factors are interconnected and play a vital role in the digital transformation process. The study results shed light on how ICTs can positively contribute to the digital transformation of schools and which factors should be considered for schools to achieve effective and efficient change.

Overview

Integrity signals

Registry

Crossref · 10.1007/s10639-022-11431-8

Cites

95 of 95 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Verification

Claims the paper makes

60 Sources not found · 40 No full text of the sources · 15 Supported · 14 Own interpretation · 12 Partly supported · 10 Not checked yet · 8 Own result · 8 No basis given · 5 Own method · 1 Supported so far · accuracy not yet measured

Show all 102 claims

  • It may state two separate claims as one. 53
  • Probably not a substantial claim. 25
  • The quote only partly states this claim. 2
71 of 71
  • The paper relies on this without support.

    Better broadband connectivity in schools raises both the amount and quality of educational activities.

    “Particularly, a high-quality broadband connection in the school increases the quality and quantity of educational activities.”
  • The paper relies on this without support.

    Data in digital form shapes what is known about schools and can change educational practice.

    “There is evidence that digital data affects the production of knowledge about schools and has the power to transform how schooling takes place.”
  • The paper relies on this without support.

    Quantifying information into data has become central to decisions that rely on accountability reports of school quality.

    “In this regard, practices, such as datafication which refers to the “translation of information about all kinds of things and processes into quantified formats” have become essential for decision-making based on accountability reports about the school’s quality.”
  • The paper relies on this without support.

    The socio-economic context of a school is closely related to its digital transformation.

    “The socio-economic context of the school is closely related to a school’s digital transformation.”
  • The paper relies on this without support.

    Emergency periods affect the digitalization of schools.

    “Emergency periods also affect the digitalization of schools.”
  • The paper relies on this without support.

    Digital technologies hold great promise for bringing about fundamental school improvement.

    “Digital technologies offer immense potential for fundamental improvement in schools.”
6 of 6

Citations

Cites

Show all 100 references

Research works printed but not linked: 5

  1. Bocconi, S., & Lightfoot, M. (2021). Scaling up and integrating the selfie tool for schools’ digital capacity in education and training systems: Methodology and lessons learnt. European Training Foundation. https://doi.org/10.2816/907029,JRC123936. Accessed 30 June 2022. · DOI
  2. Condie, R., & Munro, R. K. (2007). The impact of ICT in schools-a landscape review. Retrieved 30 June 2022 from: https://oei.org.ar/ibertic/evaluacion/sites/default/files/biblioteca/33_impact_ict_in_schools.pdf
  3. Eng, T. S. (2005). The impact of ICT on learning: A review of research. International Education Journal, 6(5), 635–650.
  4. Fielding, K., & Murcia, K. (2022). Research linking digital technologies to young children’s creativity: An interpretive framework and systematic review. Issues in Educational Research, 32(1), 105–125. Retrieved 30 June 2022 from http://www.iier.org.au/iier32/fielding-abs.html
  5. Pihir, I., Tomičić-Pupek, K., & Furjan, M. T. (2018). Digital transformation insights and trends. In Central European Conference on Information and Intelligent Systems (pp. 141–149). Faculty of Organization and Informatics Varazdin. Retrieved 30 June 2022 from https://www.proquest.com/conference-papers-proceedings/digital-transformation-insights-trends/docview/2125639934/se-2

Cited by

Sorted by citations

Items 801–824 of 824

Metadata

Authors
Timotheou, S., Miliou, O., Dimitriadis, Y., Sobrino, S. V., Giannoutsou, N., Cachia, R., Monés, A. M., & Ioannou, A.
Affiliations
  • Cyprus University of Technology (CY)
  • Universidad de Valladolid (ES)
  • European Commission (BE)
Corresponding author
Ioannou, Andri
Venue
Education and Information Technologies
Published
2022-11-21
Volume
28
Issue
6
Pages
6695-6726
ISSN
  • 1360-2357 (ISSN-L)
  • 1573-7608
OpenAlex
W4309777554
Cited by
816
References
100
Citations by year
2026: 242 · 2025: 337 · 2024: 213 · 2023: 32
FWCI
188.36
Type
journal article
Language
en
Open access
Locations
  • Education and Information Technologies (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
  • Ktisis at Cyprus University of Technology (Cyprus University of Technology) (submittedVersion, cc-by-nc-nd)
Topics
  • Physical Sciences › Computer Science › Information Systems › Mobile Learning in Education
  • Social Sciences › Education › Digital literacy in education
  • Social Sciences › Education › Technology-Enhanced Education Studies
Keywords
digital technologies in education, digital transformation of schools, ICT integration in schools, COVID-19 pandemic, school digitalization, educational inequality, learning loss, school stakeholders

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

A language model drew the claims from the paper on 2026-09-28, under version 3 of the claim definition (prompt extract-v3).

A second model labelled each claim on 2026-09-28 (model jev-1.13-20260917, definition revision gold-guideline-v0.2).

Cited sources are checked with a language model’s help (gpt-6-sol).

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

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